Simone Pernice
Ricercatore/Ricercatrice a tempo determinato di tipo A
- Dipartimento di Informatica
- SSD: INF/01 - informatica
- ORCID: orcid.org/0000-0001-7124-4676
Contatti
- n/d
- n/d
- simone.pernice@unito.it
- Dipartimento di Informatica - Università degli Studi di Torino
Via Pessinetto 12, 10149 Torino, Italy - https://matematicafinanza.campusnet.unito.it/persone/simone.pernice
Curriculum vitae
Curriculum Vitae
(0.3 MB) Prodotti della ricerca selezionati
Castagno P , Pernice S , Ghetti G , Povero M , Pradelli L , Paolotti D , Balbo G , Sereno M , Beccuti M (2020)
A computational framework for modeling and studying pertussis epidemiology and vaccination.
https://iris.unito.it/handle/2318/1759507
Simone Pernice, Laura Follia, Gianfranco Balbo, Luciano Milanesi, Giulia Sartini, Niccolò Totis, Pietro Liò, Ivan Merelli, Francesca Cordero, Marco Beccuti (2020)
Integrating Petri Nets and Flux Balance Methods in Computational Biology Models: a Methodological and Computational Practice.
https://iris.unito.it/handle/2318/1716827
CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system
2023-01-01 Pernice, Simone; Sirovich, Roberta; Grassi, Elena; Viviani, Marco; Ferri, Martina; Sassi, Francesco; Alessandrì, Luca; Tortarolo, Dora; Calogero, Raffaele A; Trusolino, Livio; Bertotti, Andrea; Beccuti, Marco; Olivero, Martina; Cordero, Francesca https://iris.unito.it/handle/2318/1914011
From compositional Petri Net modeling to macro and micro simulation by means of Stochastic Simulation and Agent-Based models
2023-01-01 Amparore, Elvio; Beccuti, Marco; Castagno, Paolo; Pernice, Simone; Franceschinis, Giuliana; Pennisi, Marzio https://iris.unito.it/handle/2318/1930490
How the Competition for Cysteine May Promote Infection of SARS-CoV-2 by Triggering Oxidative Stress
2023-01-01 Vernone A.; Bergandi L.; Pernice S.; Pescarmona G.; Silvagno F. https://iris.unito.it/handle/2318/1906732
Dissecting MRD Kinetics By Automated Computational Analysis to Improve Outcome Prediction in Mantle Cell Lymphoma: A Bioinformatic Substudy from the Fondazione Italiana Linfomi (FIL) MCL0208 Clinical Trial
2022-01-01 Francesca Cordero, Simone Ferrero, Simone Pernice, Elisa Genuardi, Roberta Sirovich, Beatrice Alessandria, Andrea Evangelista, Simone Ragaini, Maurizio Martelli, Alice Di Rocco, Alessandro Re, Chiara Pagani, Vittorio Stefoni, Federica Cavallo, Carola Boccomini, Monica Balzarotti, Vittorio Ruggero Zilioli, Maria Gomes da Silva, Luca Arcaini, Melania Celli, Gian Maria Zaccaria, Dora Tortarolo, Sergio Cortelazzo, Marco Ladetto https://iris.unito.it/handle/2318/1883020
An Agent-Based Model to Support Infection Control Strategies at School
2022-01-01 Baccega Daniele, Pernice Simone, Terna Pietro, Castagno Paolo, Moirano Giovenale, Richiardi Lorenzo, Sereno Matteo, Rabellino Sergio, Maule Milena, Beccuti Marco https://iris.unito.it/handle/2318/1875158
A Petri net formalism to study systems at different scales exploiting agent-based and stochastic simulations.
2021-01-01 Beccuti, M., Castagno, P., Franceschinis, G., Pennisi, M., Pernice, S. https://iris.unito.it/handle/2318/1851886
Multiple sclerosis disease: A computational approach for investigating its drug interactions
2020-01-01 Pernice S.; Beccuti M.; Romano G.; Pennisi M.; Maglione A.; Cutrupi S.; Pappalardo F.; Capra L.; Franceschinis G.; De Pierro M.; Balbo G.; Cordero F.; Calogero R. https://iris.unito.it/handle/2318/1765792
Computational modeling of the immune response in multiple sclerosis using epimod framework
2020-01-01 Pernice S.; Follia L.; Maglione A.; Pennisi M.; Pappalardo F.; Novelli F.; Clerico M.; Beccuti M.; Cordero F.; Rolla S. https://iris.unito.it/handle/2318/1795050
GPU accelerated analysis of treg-teff cross regulation in relapsing-remitting multiple sclerosis
2019-01-01 Beccuti M.; Cazzaniga P.; Pennisi M.; Besozzi D.; Nobile M.S.; Pernice S.; Russo G.; Tangherloni A.; Pappalardo F. https://iris.unito.it/handle/2318/1765789
Exploiting Stochastic Petri Net formalism to capture the Relapsing Remitting Multiple Sclerosis variability under Daclizumab administration
2019-01-01 Pernice S.; Romano G.; Russo G.; Beccuti M.; Pennisi M.; Pappalardo F. https://iris.unito.it/handle/2318/1765787
Pernice S , Castagno P , Marcotulli L , Maule M M , Richiardi L , Moirano G , Sereno M , Cordero F , Beccuti M (2020)
Impacts of reopening strategies for COVID-19 epidemic: a modeling study in Piedmont region.
https://iris.unito.it/handle/2318/1761315
Piaggeschi, Giulia, Licheri, Nicola, Romano, Greta, Pernice, Simone, Follia, Laura, Ferrero, Giulio (2019)
MethylFASTQ: A Tool Simulating Bisulfite Sequencing Data.
https://iris.unito.it/handle/2318/1695383
Marco Beccuti, Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis, Laura Follia, Simone Pernice (2019)
A Tool for the Automatic Derivation of Symbolic ODE from Symmetric Net Models.
https://iris.unito.it/handle/2318/1725811
Pernice S , Pennisi M , Romano G , Maglione A , Cutrupi S , Pappalardo F , Balbo G , Beccuti M , Cordero F , Calogero R A (2019)
A computational approach based on the colored Petri net formalism for studying multiple sclerosis.
https://iris.unito.it/handle/2318/1737994
Laura Follia, Fabio Tordini, Simone Pernice, , , Greta Romano, Giulia Piaggeschi, Giulio Ferrero (2018)
ParallNormal: An Efficient Variant Calling Pipeline for Unmatched Sequencing Data.
https://iris.unito.it/handle/2318/1669999
Marco Beccuti, Lorenzo Capra, Massimiliano De Pierro, Giuliana Franceschinis, Simone Pernice (2018)
Deriving Symbolic Ordinary Differential Equations from Stochastic Symmetric Nets Without Unfolding.
https://iris.unito.it/handle/2318/1690344
Pernice S , Beccuti M , Do P , Pennisi M , Pappalardo F (2018)
Estimating Daclizumab effects in Multiple Sclerosis using Stochastic Symmetric Nets.
https://iris.unito.it/handle/2318/1710926
Insegnamenti
- Informatica (MAT0375)
Matematica per l'Economia, la Finanza e l'Assicurazione - ONC0262A Introduction to Computational Modelling and Simulations in Life Sciences (ONC0262A)
Artificial Intelligence for Biomedicine and Healthcare - Systems Biomedicine Approaches to Epidemiology and public health (ONC0262)
Artificial Intelligence for Biomedicine and Healthcare
Temi di ricerca
His current research interests are in the area of mathematical modeling, application of stochastic models for systems biology, theory and application of Petri Nets (Generalized Stochastic Petri Nets, Stochastic Symmetric Nets, Extended Stochastic Symmetric Nets).
Gruppi di ricerca
Progetti di ricerca
- MALDIBANK: Multi-domain Open MALDI Spectra BANK for Identification of Microorganisms.
- MICROBES-4-CLIMATE - Microbial services addressing climate change risks for biodiversity and for agricultural and forestry ecosystems: enabling curiosity-driven research and advancing frontier knowledge
- SUS-MIRRI.IT Strengthening the MIRRI Italian Research Infrastructure for Sustainable Bioscience and Bioeconomy
- TrustAlert: Empowering Public Health with Real-Time Insights and Future Preparedness
- EUMaster4HPC- EU Master in High Performance Computing
- The resilience of the Mediterranean sea to directional climate change: development of experimental and risk models to evaluate the resistance mechanism of different marine
- Creation of a computational framework to model and study West Nile Disease
- Experiments and study of models for the evaluation of Computation at the University of Turin